A direct adaptive controller for EAF electrode regulator system using neural networks

Neurocomputing

Volumn 82, Issue , 2012, Pages 91-98

  Li, Lei ^a   Mao, Zhizhong ^a  

^a NORTHEASTERN UNIVERSITY   (China)

Author keywords

Electric arc furnace (EAF); Electrode regulator system; Nonlinear control; Normalized RBF neural network (NRBFNN)

Indexed keywords

ADAPTIVE CONTROL; ADAPTIVE NEURAL NETWORK CONTROLLER; CONVENTIONAL CONTROL; DIRECT ADAPTIVE CONTROLLER; ELECTRIC ARC FURNACE; ELECTRODE REGULATOR SYSTEM; ELECTRODE REGULATOR SYSTEMS; EQUIVALENT MODEL; FEEDBACK LINEARIZATION METHODS; INPUT-OUTPUT; MULTI VARIABLES; NON LINEAR CONTROL; NON-LINEAR CONTROLLERS; PRE-TRAINING; RBF NEURAL NETWORK; STRONG COUPLING; STRONG NONLINEARITY;

COMPUTER SIMULATION; CONTROLLERS; ELECTRIC ARCS; ELECTRIC FURNACES; FEEDBACK LINEARIZATION; LYAPUNOV METHODS; NEURAL NETWORKS;

ADAPTIVE CONTROL SYSTEMS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROL STRATEGY; CONTROL SYSTEM; ELECTRIC ARC FURNACE ELECTRODE REGULATORY SYSTEM; ELECTRIC CONDUCTIVITY; ELECTRODE; HYDRAULIC SYSTEM; MECHANICS; MODEL; POWER SUPPLY; PRIORITY JOURNAL; SIMULATION;

EID: 84862809210     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.10.020     Document Type: Article

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